import json import mock import pytest import struct import numpy as np from unityagents import UnityEnvironment, UnityEnvironmentException, UnityActionException, \ BrainInfo, Curriculum def append_length(partial_string): return struct.pack("I", len(partial_string.encode())) + partial_string.encode() dummy_start = '''{ "AcademyName": "RealFakeAcademy", "resetParameters": {}, "brainNames": ["RealFakeBrain"], "externalBrainNames": ["RealFakeBrain"], "logPath":"RealFakePath", "apiNumber":"API-2", "brainParameters": [{ "vectorObservationSize": 3, "numStackedVectorObservations": 2, "vectorActionSize": 2, "memorySize": 0, "cameraResolutions": [], "vectorActionDescriptions": ["",""], "vectorActionSpaceType": 1, "vectorObservationSpaceType": 1 }] }'''.encode() dummy_reset = [ 'CONFIG_REQUEST'.encode(), append_length( ''' { "brain_name": "RealFakeBrain", "agents": [1,2], "vectorObservations": [1,2,3,4,5,6,1,2,3,4,5,6], "rewards": [1,2], "vectorActions": [1,2,3,4], "memories": [], "dones": [false, false], "maxes": [false, false], "textObservations" :[" "," "] }'''), append_length('END_OF_MESSAGE:False')] dummy_step = ['actions'.encode(), append_length(''' { "brain_name": "RealFakeBrain", "agents": [1,2,3], "vectorObservations": [1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8,9], "rewards": [1,2,3], "vectorActions": [1,2,3,4,5,6], "memories": [], "dones": [false, false, false], "maxes": [false, false, false], "textObservations" :[" "," ", " "] }'''), append_length('END_OF_MESSAGE:False'), 'actions'.encode(), append_length(''' { "brain_name": "RealFakeBrain", "agents": [1,2,3], "vectorObservations": [1,2,3,4,5,6,7,8,9,1,2,3,4,5,6,7,8,9], "rewards": [1,2,3], "vectorActions": [1,2,3,4,5,6], "memories": [], "dones": [false, false, true], "maxes": [false, false, false], "textObservations" :[" "," ", " "] }'''), append_length('END_OF_MESSAGE:True')] dummy_curriculum = json.loads('''{ "measure" : "reward", "thresholds" : [10, 20, 50], "min_lesson_length" : 3, "signal_smoothing" : true, "parameters" : { "param1" : [0.7, 0.5, 0.3, 0.1], "param2" : [100, 50, 20, 15], "param3" : [0.2, 0.3, 0.7, 0.9] } }''') bad_curriculum = json.loads('''{ "measure" : "reward", "thresholds" : [10, 20, 50], "min_lesson_length" : 3, "signal_smoothing" : false, "parameters" : { "param1" : [0.7, 0.5, 0.3, 0.1], "param2" : [100, 50, 20], "param3" : [0.2, 0.3, 0.7, 0.9] } }''') def test_handles_bad_filename(): with pytest.raises(UnityEnvironmentException): UnityEnvironment(' ') def test_initialization(): with mock.patch('subprocess.Popen'): with mock.patch('socket.socket') as mock_socket: with mock.patch('glob.glob') as mock_glob: mock_glob.return_value = ['FakeLaunchPath'] mock_socket.return_value.accept.return_value = (mock_socket, 0) mock_socket.recv.return_value.decode.return_value = dummy_start env = UnityEnvironment(' ') with pytest.raises(UnityActionException): env.step([0]) assert env.brain_names[0] == 'RealFakeBrain' env.close() def test_reset(): with mock.patch('subprocess.Popen'): with mock.patch('socket.socket') as mock_socket: with mock.patch('glob.glob') as mock_glob: mock_glob.return_value = ['FakeLaunchPath'] mock_socket.return_value.accept.return_value = (mock_socket, 0) mock_socket.recv.return_value.decode.return_value = dummy_start env = UnityEnvironment(' ') brain = env.brains['RealFakeBrain'] mock_socket.recv.side_effect = dummy_reset brain_info = env.reset() env.close() assert not env.global_done assert isinstance(brain_info, dict) assert isinstance(brain_info['RealFakeBrain'], BrainInfo) assert isinstance(brain_info['RealFakeBrain'].visual_observations, list) assert isinstance(brain_info['RealFakeBrain'].vector_observations, np.ndarray) assert len(brain_info['RealFakeBrain'].visual_observations) == brain.number_visual_observations assert brain_info['RealFakeBrain'].vector_observations.shape[0] == \ len(brain_info['RealFakeBrain'].agents) assert brain_info['RealFakeBrain'].vector_observations.shape[1] == \ brain.vector_observation_space_size * brain.num_stacked_vector_observations def test_step(): with mock.patch('subprocess.Popen'): with mock.patch('socket.socket') as mock_socket: with mock.patch('glob.glob') as mock_glob: mock_glob.return_value = ['FakeLaunchPath'] mock_socket.return_value.accept.return_value = (mock_socket, 0) mock_socket.recv.return_value.decode.return_value = dummy_start env = UnityEnvironment(' ') brain = env.brains['RealFakeBrain'] mock_socket.recv.side_effect = dummy_reset brain_info = env.reset() mock_socket.recv.side_effect = dummy_step brain_info = env.step([0] * brain.vector_action_space_size * len(brain_info['RealFakeBrain'].agents)) with pytest.raises(UnityActionException): env.step([0]) brain_info = env.step([0] * brain.vector_action_space_size * len(brain_info['RealFakeBrain'].agents)) with pytest.raises(UnityActionException): env.step([0] * brain.vector_action_space_size * len(brain_info['RealFakeBrain'].agents)) env.close() assert env.global_done assert isinstance(brain_info, dict) assert isinstance(brain_info['RealFakeBrain'], BrainInfo) assert isinstance(brain_info['RealFakeBrain'].visual_observations, list) assert isinstance(brain_info['RealFakeBrain'].vector_observations, np.ndarray) assert len(brain_info['RealFakeBrain'].visual_observations) == brain.number_visual_observations assert brain_info['RealFakeBrain'].vector_observations.shape[0] == \ len(brain_info['RealFakeBrain'].agents) assert brain_info['RealFakeBrain'].vector_observations.shape[1] == \ brain.vector_observation_space_size * brain.num_stacked_vector_observations assert not brain_info['RealFakeBrain'].local_done[0] assert brain_info['RealFakeBrain'].local_done[2] def test_close(): with mock.patch('subprocess.Popen'): with mock.patch('socket.socket') as mock_socket: with mock.patch('glob.glob') as mock_glob: mock_glob.return_value = ['FakeLaunchPath'] mock_socket.return_value.accept.return_value = (mock_socket, 0) mock_socket.recv.return_value.decode.return_value = dummy_start env = UnityEnvironment(' ') assert env._loaded env.close() assert not env._loaded mock_socket.close.assert_called_once() def test_curriculum(): open_name = '%s.open' % __name__ with mock.patch('json.load') as mock_load: with mock.patch(open_name, create=True) as mock_open: mock_open.return_value = 0 mock_load.return_value = bad_curriculum with pytest.raises(UnityEnvironmentException): Curriculum('tests/test_unityagents.py', {"param1": 1, "param2": 1, "param3": 1}) mock_load.return_value = dummy_curriculum with pytest.raises(UnityEnvironmentException): Curriculum('tests/test_unityagents.py', {"param1": 1, "param2": 1}) curriculum = Curriculum('tests/test_unityagents.py', {"param1": 1, "param2": 1, "param3": 1}) assert curriculum.get_lesson_number == 0 curriculum.set_lesson_number(1) assert curriculum.get_lesson_number == 1 curriculum.increment_lesson(10) assert curriculum.get_lesson_number == 1 curriculum.increment_lesson(30) curriculum.increment_lesson(30) assert curriculum.get_lesson_number == 1 assert curriculum.lesson_length == 3 curriculum.increment_lesson(30) assert curriculum.get_config() == {'param1': 0.3, 'param2': 20, 'param3': 0.7} assert curriculum.get_config(0) == {"param1": 0.7, "param2": 100, "param3": 0.2} assert curriculum.lesson_length == 0 assert curriculum.get_lesson_number == 2 if __name__ == '__main__': pytest.main()